3 papers
cs.CV2025
Adapting a Segmentation Foundation Model for Medical Image Classification
Pengfei Gu, Haoteng Tang, Islam A. Ebeid +7
Recent advancements in foundation models, such as the Segment Anything Model (SAM), have shown strong performance in various vision tasks, particularly image segmentation, due to t…
eess.IV2025
Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation
Diego Adame, Jose A. Nunez, Fabian Vazquez +5
Convolutional neural network (CNN) and Transformer-based architectures are two dominant deep learning models for polyp segmentation. However, CNNs have limited capability for model…
eess.IV2025
White Light Specular Reflection Data Augmentation for Deep Learning Polyp Detection
Jose Angel Nuñez, Fabian Vazquez, Diego Adame +3
Colorectal cancer is one of the deadliest cancers today, but it can be prevented through early detection of malignant polyps in the colon, primarily via colonoscopies. While this m…